Center of Mass Estimation for Impaired Gait Assessment Using Inertial Measurement Units.

ABSTRACT: Injury or disease often compromise walking dynamics and negatively impact quality of life and independence. Assessing methods to restore or improve pathological gait can be expedited by examining a global parameter that reflects overall musculoskeletal control. Center of mass (CoM) kinematics follow well-defined trajectories during unimpaired gait, and change predictably with various gait pathologies. We propose a method to estimate CoM trajectories from inertial measurement units (IMUs) using a bidirectional Long Short-Term Memory neural network to evaluate rehabilitation interventions and outcomes. Five non-disabled volunteers participated in a single session of various dynamic walking trials with IMUs mounted on various body segments. A neural network trained with data from four of the

SUBMITTER: Labrozzi GC 

PROVIDER: S-EPMC10849874 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature